Abstract
This paper presents our further efforts pertaining to the development of a noninvasive automated scoliosis screening and diagnostic solution, as well as some other spine disorders, using commercial-of-the-shelf (COTS) devices such as the recently announced Azure Kinect. The aim and main benefit of developing a MATLAB interface to the aforementioned device compared to a previously developed standalone programmed solution using a previous generation Kinect device is reducing the future development and trial costs by gaining a solution that can quantify precision and clinical tests more easily. The presented research is being done to also offset the upcoming clinical trial costs by making it available to other interested research groups, which in turn could validate if our developed computer vision methods can stand up to other already available commercial solutions. whose costs compared to acquiring our solution makes them prohibitive to be acquired by just one research group and thus have this solution be further continuously developed and improved.
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Acknowledgment
The acknowledgement for any and all of their assistance goes out to the staff and medical practitioner and other personnel of the Institute for Student Health in Novi Sad, as well as all the fine people of Universitatea Technică din Cluj-Napoca, and especially the crew from prof. Nedevschi’s lab who were working there during the 2018 FTN Novi Sad – UT Cluj exchange stay, back when the rebuild of our previous project started, for any insightful inputs and all their help with coordination of the stay.
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Dimitrijević, D., Todorović, V., Nedić, N., Zečević, I., Nedevschi, S. (2020). Toolbox for Azure Kinect COTS Device to be Used in Automatic Screening of Idiopathic Scoliosis. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_51
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DOI: https://doi.org/10.1007/978-3-030-45691-7_51
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